import warnings
import importlib.util
from typing import Optional
from functools import wraps

import torch


def is_module_available(*modules: str) -> bool:
    r"""Returns if a top-level module with :attr:`name` exists *without**
    importing it. This is generally safer than try-catch block around a
    `import X`. It avoids third party libraries breaking assumptions of some of
    our tests, e.g., setting multiprocessing start method when imported
    (see librosa/#747, torchvision/#544).
    """
    return all(importlib.util.find_spec(m) is not None for m in modules)


def requires_module(*modules: str):
    """Decorate function to give error message if invoked without required optional modules.

    This decorator is to give better error message to users rather
    than raising ``NameError:  name 'module' is not defined`` at random places.
    """
    missing = [m for m in modules if not is_module_available(m)]

    if not missing:
        # fall through. If all the modules are available, no need to decorate
        def decorator(func):
            return func
    else:
        req = f'module: {missing[0]}' if len(missing) == 1 else f'modules: {missing}'

        def decorator(func):
            @wraps(func)
            def wrapped(*args, **kwargs):
                raise RuntimeError(f'{func.__module__}.{func.__name__} requires {req}')
            return wrapped
    return decorator


def deprecated(direction: str, version: Optional[str] = None):
    """Decorator to add deprecation message

    Args:
        direction (str): Migration steps to be given to users.
        version (str or int): The version when the object will be removed
    """
    def decorator(func):

        @wraps(func)
        def wrapped(*args, **kwargs):
            message = (
                f'{func.__module__}.{func.__name__} has been deprecated '
                f'and will be removed from {"future" if version is None else version} release. '
                f'{direction}')
            warnings.warn(message, stacklevel=2)
            return func(*args, **kwargs)
        return wrapped
    return decorator


def is_kaldi_available():
    return is_module_available('torchaudio._torchaudio') and torch.ops.torchaudio.is_kaldi_available()


def requires_kaldi():
    if is_kaldi_available():
        def decorator(func):
            return func
    else:
        def decorator(func):
            @wraps(func)
            def wrapped(*args, **kwargs):
                raise RuntimeError(f'{func.__module__}.{func.__name__} requires kaldi')
            return wrapped
    return decorator


def is_sox_available():
    return is_module_available('torchaudio._torchaudio') and torch.ops.torchaudio.is_sox_available()


def requires_sox():
    if is_sox_available():
        def decorator(func):
            return func
    else:
        def decorator(func):
            @wraps(func)
            def wrapped(*args, **kwargs):
                raise RuntimeError(f'{func.__module__}.{func.__name__} requires sox')
            return wrapped
    return decorator
